1 to 25 of 242 Permanent Databricks Jobs in England

Backed by private equity, Valcon has brought together leading firms to form one of Europe’s fastest-growing consultancies. In February 2026, we achieved Databricks Gold Partner status, recognising our certified capability, delivery track record and growing European footprint. In the UK, we are scaling quickly while keeping a collaborative … hands-on and pragmatic culture. The Role: In February 2026, we achieved Databricks Gold Partner status. This recognition reflects our certified capability, proven delivery track record and growing European footprint. As a Gold Partner, we are scaling our collaboration with Databricks across consulting, engineering and innovation programmes to help clients ...

Strong experience with Python and/or SQL in a production environment. Hands-on experience with modern data engineering frameworks such as: Apache Spark, Databricks Airflow/Prefect/Dagster Kafka/EventHub/Kinesis Experience building data solutions on at least one major cloud platform (AWS, Azure ...

Milvus) to power enterprise knowledge intelligence platforms. Data Platform & Engineering Excellence Lead the evolution of the enterprise data landscape using modern platforms such as Databricks, Snowflake, Azure Synapse, and BigQuery. Oversee data engineering with Apache Airflow, dbt, and Prefect, ensuring performance, governance, and alignment with enterprise metadata standards (Collibra, Alation ...

capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Opportunity We recognise “data” is broad, that’s why we’re keen ...

with structured/unstructured data. • Comfortable working in an environment where the data platform is being built from scratch. Desirable • Experience with Azure Synapse, Databricks, or other cloud data technologies. • Exposure to Python or notebooks for data wrangling. • Understanding of Continuous Integration/Continuous Deployment, DevOps, or version control ...

automation tasks. Proven ability to design, build, and maintain scalable data pipelines for batch and streaming data using modern frameworks. Experience working with Databricks for big data processing, Spark-based transformations, and collaborative analytics workflows. Familiarity with Azure Data Factory (ADF) for data orchestration and integration across cloud environments. Skilled ...

Power Platform extensibility. Qualifications & Certifications B.Tech or Equivalent degree Certifications (any subset): Azure AI Engineer/Architect , Azure OpenAI , AWS/GCP AI , Databricks ML , Kubernetes Diversity and Inclusion at Wipro We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color ...

loads Azure Ecosystem (Preferred/Good to Have) Azure data services experience in one or more: Azure Synapse Analytics/Dedicated SQL Pools Azure Databricks/Spark ADLS Gen2, Azure SQL DB, Managed Instance Event Hub/Kafka, Stream Analytics (if real-time involved) Monitoring & observability: Azure Monitor, Log Analytics ...

graph databases (Neo4j) • Knowledge of networking, security best practices, IAM configuration, and secrets management • Experience supporting data pipelines, ETL workflows, and cloud data platforms (Databricks, Snowflake) • Strong experience with the set up/design/governance and security of Clean Rooms and clean room integrations • Previous experience in early-stage ...

Azure Data Engineer should have: Proven experience in data engineering within the financial services industry. Strong expertise in Azure data technologies, including Data Factory, Databricks, and Synapse Analytics. Proficiency in SQL and other data query languages. Knowledge of data modelling, ETL processes, and data warehousing concepts. Experience in working with ...

with large-scale enterprise datasets Strong analytical mindset with a focus on data quality Nice to Haves Snowflake performance tuning and cost optimisation Python Databricks End-to-end data platform architecture Enterprise BI platforms CI/CD pipelines Infrastructure-as-Code Employee Benefits £100,000 base salary + bonus Pension ...

datasets Strong analytical mindset with a clear focus on data integrity and performance Desirable Experience Advanced Snowflake performance tuning and optimisation Python and or Databricks exposure Experience designing full end-to-end data platform architectures Background supporting enterprise BI ecosystems Familiarity with CI/CD pipelines and infrastructure-as-code ...

Strong understanding of data architecture methodologies, governance, and security best practices Proficiency with cloud platforms (AWS, Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic ...

Strong understanding of data architecture methodologies, governance, and security best practices Proficiency with cloud platforms (AWS, Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic ...

Strong understanding of data architecture methodologies, governance, and security best practices Proficiency with cloud platforms (AWS, Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic ...

including complex queries, optimisation, and indexing Experience working with ETL tools such as Google Cloud Dataflow, DBT, Azure Data Factory, Fivetran, or Databricks Solid understanding of data warehousing concepts , ETL/ELT pipelines, and dimensional modelling Experience building and managing cloud-based data infrastructure (GCP) Experience using Git/DevOps ...

transformation programmes and technical strategy. Technology environment Typical platforms and technologies include: Cloud platforms such as **AWS, Azure or Google Cloud** Data platforms including **Databricks, Snowflake or BigQuery** Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ML lifecycle management. The profile Experience ...

optimisation. Skills & Experience Required Proven experience as a Data Engineer or in a similar role. Strong Azure background, ideally including Data Factory, Data Lake, Databricks, Synapse (or similar). Solid understanding of SQL, Python, ETL/ELT, data warehousing, and data modelling. Experience integrating multiple systems into a centralised platform. ...

while maintaining delivery excellence Technical Experience: Proficiency in Python, R, or PySpark Experience with cloud data platforms such as AWS, Azure, Google Cloud, or Databricks Knowledge of DevOps and MLOps principles for deploying AI solutions into production environments Experience working with Agentic and Generative AI platforms or large language models ...

would be beneficial but is by no means essential. Interested candidates must have experience in a similar role with MS Azure Data Platforms, Synapse, Databricks or other Cloud platforms such as AWS, GCP, Snowflake etc. Key Responsibilities will include; Design, implement, and optimize end-to-end solutions using Fabric components ...

storage, transformation and warehousing Experience interacting with APIs and cloud services programmatically Experience building and maintaining cloud data warehouses (e.g. Redshift, Snowflake or Databricks) Familiarity with Git-based source control Experience working in an Agile delivery environment Strong analytical and problem-solving skills The ability to communicate technical concepts clearly ...

data structures, data quality challenges, and how to design reliable transformation logic ·Experience working with modern data platforms such as Azure, GCP, AWS, Databricks, Snowflake, or similar ·Confidence working with imperfect data and making it fit for consumption downstream ·Experience supporting or mentoring other engineers through code reviews, pairing ...

Banking data domains (e.g., real-time payments, ACH, SWIFT, clearing and settlement). Hands-on expertise with modern data platforms and lakehouse architectures (e.g., Databricks, Snowflake) and cloud-native services. Strong experience with streaming and event-driven data processing (e.g., Kafka) and ETL/ELT patterns. Advanced proficiency in Python ...

Contributing to data modelling, analytics and visualisation Collaborating with engineers, analysts and stakeholders in Agile delivery teams Tech stack SQL Python Azure or AWS Databricks/Spark/PySpark Data warehouses/lakehouse platforms CI/CD and modern engineering practices We're looking for someone who Has experience building ...

ability to work with engineers, analysts and non‐technical stakeholders. Nice to have Experience with job schedulers or orchestration tools (e.g. Airflow, Databricks Jobs, similar). Exposure to cloud data platforms (AWS, GCP or Azure). Experience in a data support, application support or production operations‐style role. ...